Research And Application Of Intelligent Auxiliary Decision In Electricity Utilization Management

Power consumption management is very important for electric power enterprises. It is takes the sales of electric energy and the social application management in hand, is the last step of electricity production and sales. The quality of power consumption management directly relates to the visualization of electric power enterprises, economy benefit and society benefit. This paper first analyses the current status of power consumption management and intelligent aided decision support technology, then deals with historic data used by electric power long-distance automatic meter reading and builds meter reading data warehouse, at last OLAP, data mining and expert knowledge base are combined to establish a intelligent aided DSS for power consumption management, which can effectively support decision-making and load forecasting.